Data mining and machine learning research in Suzuki Lab. (Kyushu Univ., formerly Yokohama National Univ.) (under construction, incomplete list, journal versions usually omitted) 1. Exception rule discovery (discovery of all non-linear interactions from a given data set and its derivatives) [Suzuki, Shimura KDD 1996], [Suzuki KDD 1997], [Suzuki, Kodratoff PKDD 1997], [Suzuki, Zytkow PKDD 2000], [Suzuki, Tsumoto PAKDD 2000], [Ikeda, Suzuki ECML/PKDD 2009] and many others. 2. Rule Discovery (simultaneous confidence evaluation, compression-based evaluation, etc.) [Suzuki KDD 1998], [Suzuki PAKDD 2009] and many others. 3. Multi-objective classification (a structural approach to multi-dimensional class) [Suzuki, Gotoh, Choki PKDD 2001] and many others. 4. Data squashing (downsizing data rather than scaling up the algo.) [Choki, Suzuki PKDD 2002] and many others. 5. Structural attributes (non-standard attributes in induction and discovery) [Takechi, Suzuki ICML 2002], [Yamada, Suzuki ICML 2003] and many others. 6. Exception discovery (discovery of interesting exceptions. naturally includes 1.) [Suzuki, Watanabe, Yokoi, Takabayashi ICDM 2003], [Ando, Suzuki ICDM 2006], [Ando, Suzuki KDD 2009], [Wang, Chou, Suzuki DS 2009], [Ando, Thanomphongphan, Hoshino, Seki, Suzuki SDM 2011] and many others. 7. Multi-task/transfer Learning (learning mutually relevant problems simultaneously or learning by exploiting mutually relevant problems) [Ando, Suzuki ICDM 2008], [Tong, Shao, Chou, Suzuki ECML/PKDD 2010], [Tong, Gao, Nguyen, Suzuki SDM 2011], [Shao, Suzuki SDM 2011], [Ando, Suzuki ICDM 2011], [Nguyen, Tong, Shao, Suzuki KAIS 2013] and many others. 8. Community detection (detecting communities in a large graph) [Hirai, Chou, Suzuki DS 2011], [Chou, Suzuki, WIAS 2013] and many others.